fig12

Physically synthesized data for deep learning-based visual scratch inspection of aerospace alloys with complex geometries

Figure 12. Segmentation performances with different synthetic and real datasets. The P_0, P_10, and P_20 use physical synthetic images with 0, 10, 20 real images respectively. The G_20 uses GANs-based synthetic images with 20 real images. The R_100 uses 100 real images without any synthetic images. The synthetic and real images are directly mixed into one training set in each training process. GANs: Generative adversarial networks.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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